FOL Automation
Blank Status Detection
Detection Items:
● Patch blank identification
● Reversed placement of the blank
● Wrong blank feeding detection
Hardware:
Each trolley is equipped with 1 unit of 2D camera + 1 set of lighting
Technologies:
Deep learning + Vision algorithms
Last Blank Detection
Detection Items:
Replaces the existing photoelectric sensors, automatically sends a signal once any stack has been de-stacked
Hardware:
None (reuses blank status detection hardware)
Technologies:
Deep learning classifier
Double Blank Detection
Application:
After production line stop and restart, the destacking system repeatedly places blanks, resulting in double / stacked feeding into the furnace
Hardware:
1 unit of 2D camera + 1 set of lighting
Technologies:
Deep learning classifier
Abnormal Handling：
Resume blank feeding after the previous blank has entered the furnace
Are you looking for something else? Please get in touch with Aotto, we are pleased to answer your request.
